Sequencing-based analysis of microbiomes

Y Pinto, AS Bhatt - Nature Reviews Genetics, 2024 - nature.com
Microbiomes occupy a range of niches and, in addition to having diverse compositions, they
have varied functional roles that have an impact on agriculture, environmental sciences, and …

[HTML][HTML] Omics approaches for understanding heavy metal responses and tolerance in plants

M Jamla, T Khare, S Joshi, S Patil, S Penna… - Current Plant …, 2021 - Elsevier
Recent years have witnessed a gradual increase in the bioavailability and groundwater
leaching of toxic heavy metals (HMs) in the environment, driven mainly by anthropogenic …

Critical assessment of metagenome interpretation: the second round of challenges

F Meyer, A Fritz, ZL Deng, D Koslicki, TR Lesker… - Nature …, 2022 - nature.com
Evaluating metagenomic software is key for optimizing metagenome interpretation and focus
of the Initiative for the Critical Assessment of Metagenome Interpretation (CAMI). The CAMI II …

GenStore: A high-performance in-storage processing system for genome sequence analysis

N Mansouri Ghiasi, J Park, H Mustafa, J Kim… - Proceedings of the 27th …, 2022 - dl.acm.org
Read map** is a fundamental step in many genomics applications. It is used to identify
potential matches and differences between fragments (called reads) of a sequenced …

FPGA-based near-memory acceleration of modern data-intensive applications

G Singh, M Alser, DS Cali, D Diamantopoulos… - IEEE Micro, 2021 - ieeexplore.ieee.org
Modern data-intensive applications demand high computational capabilities with strict
power constraints. Unfortunately, such applications suffer from a significant waste of both …

Long-read sequencing reveals extensive gut phageome structural variations driven by genetic exchange with bacterial hosts

S Lai, H Wang, P Bork, WH Chen, XM Zhao - Science Advances, 2024 - science.org
Genetic variations are instrumental for unraveling phage evolution and deciphering their
functional implications. Here, we explore the underlying fine-scale genetic variations in the …

Deriving confidence intervals for mutation rates across a wide range of evolutionary distances using FracMinHash

MR Hera, NT Pierce-Ward, D Koslicki - Genome research, 2023 - genome.cshlp.org
Sketching methods offer computational biologists scalable techniques to analyze data sets
that continue to grow in size. MinHash is one such technique to estimate set similarity that …

[HTML][HTML] From molecules to genomic variations: Accelerating genome analysis via intelligent algorithms and architectures

M Alser, J Lindegger, C Firtina, N Almadhoun… - Computational and …, 2022 - Elsevier
We now need more than ever to make genome analysis more intelligent. We need to read,
analyze, and interpret our genomes not only quickly, but also accurately and efficiently …

Defining blood plasma and serum metabolome by GC-MS

O Kiseleva, I Kurbatov, E Ilgisonis, E Poverennaya - Metabolites, 2021 - mdpi.com
Metabolomics uses advanced analytical chemistry methods to analyze metabolites in
biological samples. The most intensively studied samples are blood and its liquid …

Fulgor: a fast and compact k-mer index for large-scale matching and color queries

J Fan, J Khan, NP Singh, GE Pibiri, R Patro - Algorithms for Molecular …, 2024 - Springer
The problem of sequence identification or matching—determining the subset of reference
sequences from a given collection that are likely to contain a short, queried nucleotide …